Mostrando 5 resultados de: 5
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Subtipo de publicación
Conference Object(5)
Área temáticas
Ciencias de la computación(3)
Enfermedades(2)
Física aplicada(2)
Medicina y salud(2)
Métodos informáticos especiales(2)
Área de conocimiento
Aprendizaje automático(3)
Ciencias de la computación(2)
Laboratorio médico(2)
Aprendizaje profundo(1)
Neurología(1)
Año de Publicación
2022(5)
Automatic Brain White Matter Hyperintensities Segmentation with Swin U-Net
Conference ObjectAbstract: This work proposes an automatic segmentation approach to detect White Matter Hyperintensities (WMH)Palabras claves:deep learning, segmentation, Swin-Transformer, WMHAutores:Bryan V. Piguave, Enrique Pelaez, Francis R. Loayza, José ViteriFuentes:googlescopusAnatomical Patterns Recognition of Impulse Control Disorders of Parkinsonian Patients Using Deep Learning of MRI structural images
Conference ObjectAbstract: In Parkinson's disease (PD) several neuropsychiatric conditions are highly frequent including impulsPalabras claves:deep learning, Impulsive Compulsive Disorders, MRI, PÁRKINSONAutores:Alexander Saravia, Enrique Pelaez, Francis R. Loayza, Jocellyn Luna, Obeso I., Victor Asanza ArmijosFuentes:googlescopusDetection of Pathologies in X-Ray Chest Images using a Deep Convolutional Neural Network with Appropriate Data Augmentation Techniques
Conference ObjectAbstract: Current advances in trained Deep Learning models have allowed architectures, such as Convolutional NPalabras claves:Convolutional neural network, data augmentation, Data cleaning, deep learning, Pathology DetectionAutores:Enrique Pelaez, Federico X. Dominguez, Sebastián Quevedo-SacotoFuentes:googlescopusFault Diagnosing for Electric Motors Based in Noise Data Classification Using Deep Learning
Conference ObjectAbstract: Timely detection of potential engine failures is essential for preventive maintenance of equipment.Palabras claves:Audio Anomaly Classification, deep learning, Engine Failures, Spectrogram AnalysisAutores:Enrique Pelaez, Francis R. Loayza, Josue Davalos Carrera, Paulette Vazquez MatuteFuentes:scopusElectrooculography Signals Classification for FPGA-based Human-Computer Interaction
Conference ObjectAbstract: Electrooculographic techniques are applied in the development of new technologies that compensate foPalabras claves:Electrooculography, Fpga, Human-computer InteractionAutores:Diego Hernán Peluffo-Ordóñez, Enrique Pelaez, Francis R. Loayza, Jesus Miranda, Leiber Rivas, Miranda J., Otilia Alejandro, Victor Asanza ArmijosFuentes:scopus